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Numerical Simulation of Dry Reciprocating Wear Loss Characteristics of Al 6061 Alloy
B. Sunil1, V. R. Rajeev2, C. Jaimon3, S. Jose4

1B.Sunil, Department of Mechanical Engineering, College of Engineering, Trivandrum (Kerala), India.
2V.R.Rajeev, Department of Mechanical Engineering, Government Engineering College, Thrissur (Kerala), India.
3C.Jaimon, Department of Mechanical Engineering, College of Engineering, Trivandrum (Kerala), India.
4S.Jose, Department of Mechanical Engineering, TKM College of Engineering, Kollam (Kerala), India.

Manuscript received on 13 April 2017 | Revised Manuscript received on 20 April 2017 | Manuscript Published on 30 April 2017 | PP: 241-246 | Volume-6 Issue-4, April 2017 | Retrieval Number: D4977046417/17©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In this paper, attempts were made to develop a numerical wear model. The developed wear model was used to investigate the effect of parameters on the response reciprocating wear loss characteristics of Al 6061 alloy against En 31 hard steel counterface. A Box-Behnken design of experiment was used to investigate the effect of parameters such as normal load (15-45N), reciprocating velocity (0.4-0.6 m/s), and sliding distance (300-500 m) on the response reciprocating wear loss characteristics of Al 6061 alloy. The normal load (Percentage of contribution, P = 34.23%), and reciprocating velocity (P = 43.75%), sliding distance (P = 14.45%) are the controlling factors on the response wear loss behaviour of Al 6061 alloy. The interaction model term between the normal load and reciprocating velocity (P = 3.21%) was the secondary influencing factor on the response wear loss characteristics of Al 6061 alloy within the range of parameters investigated. An optimized sliding condition was identified by the genetic algorithm (GA) approach as load 15N, reciprocating velocity 0.6m/s and sliding distance 300m.
Keywords: Wear Loss, Percentage of Contribution, Reciprocating Tribometer, Genetic Algorithm.

Scope of the Article: Algorithm Engineering